Sprekend Nederland: a heterogeneous speech data collection


  • David A. van Leeuwen CLS/CLST, Radboud University Nijmegen
  • Frans Hinskens Meertens Institute, Amsterdam
  • Borja Martinovic Department of Interdisciplinary Social Science/Ercomer, Utrecht University
  • Arjan van Hessen HMI, University Twente
  • Stef Grondelaers CLS/CLST, Radboud University Nijmegen
  • Rosemary Orr UIL/OTS, Utrecht University


Sprekend Nederland is a large-scale effort to document the variability of Dutch as spoken in the Netherlands anno 2016. A smartphone app was created to record the speech of as many speakers of Dutch as possible, as well as their attitudes (perceptions and evaluations) towards other participants’s speech. Initiated by the national broadcast organisation NTR, Sprekend Nederland relies on both traditional and modern media to recruit participants. At this point, about halfway through the project, over 7000 participants have recorded over 200 000 utterances, totalling about 375 hours of speech data, and over a million of attitude judgements have been given. In this paper we report the design and implementation of the data collection, we present some preliminary statistics and demographics, and we outline a number of research possibilities that this data collection offers.




How to Cite

van Leeuwen, D. A., Hinskens, F., Martinovic, B., van Hessen, A., Grondelaers, S., & Orr, R. (2016). Sprekend Nederland: a heterogeneous speech data collection. Computational Linguistics in the Netherlands Journal, 6, 21–38. Retrieved from https://clinjournal.org/clinj/article/view/62